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11. This can be thought...

11. This can be thought of as the chi-square type equivalent to the paired t-test.

ANOVA

McNemar test

Cochran's Q test

Mann-Whitney U-test

12. Chi-square tests can only be conducted for a 2X2 contingency table.

True

False

13. Parametric tests can be used with any type of data.

True

False

14. The test statistic calculated in the process of a Kruskall-Wallis test is H.

True

False

15. The distribution of chi-square values is normally distributed.

True

False

16. Generally, tests for ordinal variables involve ranking in some way.

True

False

17. A researcher wants to determine if blocked heparin lock (yes or no) is related to the occurrence of subsequent complications (yes or no). The Chi-Square null hypothesis for this study is that a blocked heparin lock leads to complications.

True

False

18. Parametric tests can be used with any type of data as the dependent variable (i.e., nominal, ordinal, interval, etc.).

True

False

19. If the Chi-Square statistic is less than the table value, we accept the null hypothesis.

True

False

20. Expected frequencies are the number of cases that would be found in each cell if the null hypothesis were true.

True

False

ANOVA

McNemar test

Cochran's Q test

Mann-Whitney U-test

12. Chi-square tests can only be conducted for a 2X2 contingency table.

True

False

13. Parametric tests can be used with any type of data.

True

False

14. The test statistic calculated in the process of a Kruskall-Wallis test is H.

True

False

15. The distribution of chi-square values is normally distributed.

True

False

16. Generally, tests for ordinal variables involve ranking in some way.

True

False

17. A researcher wants to determine if blocked heparin lock (yes or no) is related to the occurrence of subsequent complications (yes or no). The Chi-Square null hypothesis for this study is that a blocked heparin lock leads to complications.

True

False

18. Parametric tests can be used with any type of data as the dependent variable (i.e., nominal, ordinal, interval, etc.).

True

False

19. If the Chi-Square statistic is less than the table value, we accept the null hypothesis.

True

False

20. Expected frequencies are the number of cases that would be found in each cell if the null hypothesis were true.

True

False

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